- HF Model
- AlicanKiraz0/Cybersecurity-BaronLLM_Offensive_Security_LLM_Q6_K_GGUF
- Base Model
- meta-llama/Llama-3.1-8B-Instruct
- Pipeline
- text-generation
- Downloads
- 519
- Likes
- 239
- offensive-security
- llama-3.1
- gguf
- llama-cpp
- red-team
pentest
BaronLLM — Offensive Security Llama 3.1 8B
Uploaded to Hugging Face by AlicanKiraz0 — Llama 3.1 8B offensive security LLM with 239 community likes, among the most-engaged pentest-tagged models.
What Is This?
Uploaded to Hugging Face by AlicanKiraz0. Cybersecurity-BaronLLM is an offensive security fine-tune of Llama 3.1 8B Instruct, distributed as GGUF Q6_K. With 239 likes, it ranks among the most community-engaged pentest-tagged models on Hugging Face.
Metadata
| Field | Value |
|---|---|
| Author | AlicanKiraz0 |
| Base | meta-llama/Llama-3.1-8B-Instruct |
| Quantization | Q6_K GGUF |
| Downloads | ~519 |
| Likes | 239 |
| License | MIT |
Why It Might Matter
BaronLLM represents the community offensive-LLM canon — frequently referenced alongside Lily, Trendyol Cyber, and Titus in cyber fine-tune lineages. Research value:
- Established baseline for red-team prompt compliance testing
- MIT license enables unrestricted research integration (unlike NC-licensed adapters)
- 8B scale makes it accessible for comparative studies with newer 4B heretic models
Ecosystem Position
AlicanKiraz0 maintains a cluster of cybersecurity models (Titus, BaronLLM, dataset releases). BaronLLM likely shares training data lineage with Fenrir/Heimdall corpora — check dataset cards for reproducibility.
Attribution
Open-source model indexed for security research inquiry. Uploaded to Hugging Face by AlicanKiraz0.